An online system scores campaign audiences based on historical scoring data for similar audiences. A third party system selects a target audience and a day on which the target audience should be exposed to a campaign. The online system generates an availability grid and a score grid to determine a score for the target audience. Values in the availability grid are determined based on the availability of exposure time for the target audience on the specified date. Values in the score grid are based on historical scoring data for the same audience. The online system scores the target audience by interpolating between data points in the score grid based on a selected availability from the availability grid.

Disclosed is a method and system (collectively platform) of geolocation and time-based advertising. The platform may include receiving, using a communication interface, a first geolocation from a client device. Further, the platform may include, receiving, using the communication interface, an advertisement content from the client device. Additionally, the platform may include creating, using the processor, an association between the first geolocation and the advertisement content. Further, the platform may include storing, using a storage device, each of the first geolocation, the advertisement content and the association. Furthermore, the platform may include receiving, using the communication interface, a second geolocation from a client device. Additionally, the platform may include comparing, using the processor, the second geolocation with the first geolocation. Further, the platform may include transmitting, using the communication interface, the advertisement content to the client device based on the comparison.

An improved architecture including system and methods for online advertising placement that provide possibly defaulting advertisement tags the opportunity to serve an advertisement ahead of a lower value tag that is guaranteed to fill, resulting in higher CPMs (i.e., Cost Per Mille) for web publishers. The system and methods are configured to deterministically render an advertisement impression from a list of possibly defaulting advertisements in a JavaScript-enabled web browser. The knowledge of the complete outcome of such an ad chain at render-time significantly reduces complexity and latency in the supporting ad server. The system and method centers around a novel JavaScript approach to detect when an advertisement has been loaded but not defaulted. Additionally, the system and methods integrate the network and RTB demand channels by looking at all demand sources simultaneously and selecting the buyer from within the user's browser, and address predictive pricing to further enhance the online advertising placement process.

In general, embodiments of the present invention provide systems, methods and computer readable media for data record compression using graph-based techniques.

A content item may be received from an author and offered to customers on behalf of the author. A promotional activity associated with the content item may be conducted or performed. A baseline amount of sales expected for the content item during a time period associated with the promotional activity may be determined. The actual amount of sales of the content item during the time period may also be determined. Based on the baseline amount of sales and the actual amount of sales, the financial impact of the promotional activity may be determined. The expected financial impact of a future promotional activity for the content item that has yet to occur may be predicted. Some or all of the data may be visually presented to the author via a self-service interface.

A method whereby internet search keyword(s) can be associated with a purchase at an offline merchant. The process empowers the merchant to optimize bids to invest more money in keyword(s) with a stronger return on investment and less money in keyword(s) with a lower return on investment.

A computer-implemented method and system for tracking of leads generated through online advertisements in real time includes a first step of associating plural advertisement platforms of plural publishers with a tracking system. The method includes another step of integrating customer management platforms of plural advertisers with the tracking system. The method also includes classifying stages in a conversion process of leads generated through the online advertisements. The method also includes tracking the status of the leads generated through the online advertisements in view of the stages in the conversion process. The tracking system tracks status of the leads generated through the online advertisements against a unique identification number.

Systems are provided for analyzing the effectiveness of an advertisement using information provided by a wearable camera system. In one implementation, a system includes a memory storing executable instructions, and at least one processing device programmed to execute the instructions to receive, from the wearable camera system, information derived from image data related to an advertisement in an environment of a user of the wearable camera system. The processing device of the system may be further configured to receive information derived from the image data related to activities of the user, and may be configured to identify, based on this received information, a product acquired by the user that is associated with the advertisement.

Systems, methods, and computer-readable storage media for attribution modeling using withheld or near impression data are provided. One method involves determining, for a first content item impression, withheld or near impressions for a competing content item within a content auction. The method further involves identifying a first set of paths including a sequence of events that includes an interaction with the first content item impression. The method further involves identifying a second set of paths, each including the sequence of events with the competing content item impression replacing the first content item impression. The method compares conversion metrics for the first and second paths to determine attribution credit for the first content item impression.

Provided herein are systems, methods and computer readable media for programmatically updating budgeting data, target consumer profile data, and promotion component data for communication to a social network system. An example method may include transmitting, via a social network system interface, budgeting data, target consumer profile data, and promotion component data to the social network system, receiving, at a promotion and marketing system, consumer transaction data, consumer redemption data, and consumer-promotion interaction data, determining, via the promotion and marketing system, at least one of updated budgeting data, updated target consumer data, and updated promotion component data based on the consumer transaction data, the consumer redemption data, and the consumer-promotion interaction data, and transmitting, via the social network system interface, the updated budgeting data, the updated target consumer profile data, and the updated promotion component data to the social network system.